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Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT

Risk stratification of COVID-19 patients can support therapeutic decisions, planning and resource allocation in the hospital. In times of high incidence, a prognostic model based on data efficiently retrieved from one source can enable fast decision support.

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Bibliographic Details
Main Authors: Dirks, Ine (Author) , Bossa, Matías Nicolás (Author) , Berenguer, Abel Díaz (Author) , Mukherjee, Tanmoy (Author) , Sahli, Hichem (Author) , Deligiannis, Nikos (Author) , Verelst, Emma (Author) , Ilsen, Bart (Author) , Eyndhoven, Simon Van (Author) , Seyler, Lucie (Author) , Witdouck, Arne (Author) , Darcis, Gilles (Author) , Guiot, Julien (Author) , Giannakis, Athanasios (Author) , Vandemeulebroucke, Jef (Author)
Format: Article (Journal)
Language:English
Published: 2025
In: BMC medical informatics and decision making
Year: 2025, Volume: 25, Pages: 1-15
ISSN:1472-6947
DOI:10.1186/s12911-025-02983-z
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s12911-025-02983-z
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Author Notes:Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis and Jef Vandemeulebroucke
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Summary:Risk stratification of COVID-19 patients can support therapeutic decisions, planning and resource allocation in the hospital. In times of high incidence, a prognostic model based on data efficiently retrieved from one source can enable fast decision support.
Item Description:Online veröffentlicht: 1. April 2025
Gesehen am 05.11.2025
Physical Description:Online Resource
ISSN:1472-6947
DOI:10.1186/s12911-025-02983-z

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